ASVspoof2019LA-Sim: Augmented Dataset for An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems
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This is the dataset we augmented to study the channel effects for anti-spoofing. For more details, please refer to our Interspeech 2021 paper: An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems. Proceeding: https://www.isca-speech.org/archive/interspeech_2021/zhang21ea_interspeech.html Arxiv: https://arxiv.org/pdf/2104.01320.pdf Code: https://github.com/yzyouzhang/Empirical-Channel-CM Contact: you.zhang@rochester.edu Version 1.0 only contains the training and the development set. We will upload evaluation set in further versions. Stay tuned. To extract the files, please use the following commands: <pre><code class="language-bash">cat eval.tar.gz-part* > eval.tar.gz tar -xvzf *.tar.gz</code></pre> After concatenation, to make sure the download is complete, you can check with the following: <pre><code>md5sum *.tar.gz 15dea7d28b126994bb6b159778f706af dev.tar.gz 0615052b34ca6c7f58505eaa8647844f eval.tar.gz 3058dd9d407f3c9ae697acca8c34a6c3 train.tar.gz</code></pre>
